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. The Accelerate Programme for Scientific Discovery (https://science.ai.cam.ac.uk/ ) is a high-profile University initiative promoting the use of machine learning to tackle major scientific challenges. Accelerate
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This is an exciting opportunity for an experienced, ambitious, talented, and highly motivated machine learning scientist to join our team within the Precision Breast Cancer Institute https
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This is an exciting opportunity for an experienced, ambitious, talented, and highly motivated machine learning scientist to join our team within the Precision Breast Cancer Institute https
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PhD at the Forefront of Computational Solid Mechanics and Machine Learning School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
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, United States of America [map ] Subject Area: Artificial Intelligence, Machine Learning and Autonomy / Ethics Appl Deadline: (posted 2024/11/22, listed until 2025/05/22) Position Description: Apply
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Scientific Eng., Level A Job Title Research Machine Learning Software Developer Department Bashashati Laboratory | School
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challenges facing the nation. We are seeking a full-time Distinguished Scientist, Artificial Intelligence and Machine Learning, who will support the Cyber Resilience and Intelligence Division (CRID) in
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Sessional Lecturer, INF2205H - Designing Sustainable & Resilient Machine Learning Systems with MLOps
University of Toronto Faculty of Information Sessional Lecturer Winter Term 2026 (January - April) INF2205H – Designing Sustainable and Resilient Machine Learning Systems with MLOps Course
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Programme for Scientific Discovery (https://science.ai.cam.ac.uk/ ) is a high-profile University initiative promoting the use of machine learning to tackle major scientific challenges. Accelerate Science
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University of Cambridge About us Contact us Job Opportunities Jobs Applying for a job My applications Right to work What we can offer Living in Cambridge Temporary work Work experience Volunteering Page not found This page cannot be displayed. If you are returning to a previously accessed job...